Autor: |
Jan, Kalina, Libor, Seidl, Karel, Zvára, Hana, Grünfeldová, Dalibor, Slovák, Jana, Zvárová |
Rok vydání: |
2013 |
Předmět: |
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Zdroj: |
Studies in health technology and informatics. 186 |
ISSN: |
0926-9630 |
Popis: |
We implemented a prototype of a decision support system called SIR which has a form of a web-based classification service for diagnostic decision support. The system has the ability to select the most relevant variables and to learn a classification rule, which is guaranteed to be suitable also for high-dimensional measurements. The classification system can be useful for clinicians in primary care to support their decision-making tasks with relevant information extracted from any available clinical study. The implemented prototype was tested on a sample of patients in a cardiological study and performs an information extraction from a high-dimensional set containing both clinical and gene expression data. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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